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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Review of Deep Reinforcement Learning Approaches for Conflict Resolution in Air Traffic Control
Zhuang Wang, Weijun Pan, Hui Li, et al.
Aerospace (2022) Vol. 9, Iss. 6, pp. 294-294
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues
Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6397-6426
Open Access | Times Cited: 17
DESIGN and be SMART: Eleven engineering challenges to achieve sustainable air transportation under safety assurance in the year 2050
Sebastian Wandelt, H.A.P. Blom, Marius Magnus Krömer, et al.
Journal of the Air Transport Research Society (2024), pp. 100045-100045
Open Access | Times Cited: 11
Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones
Dieudonne Groot, Joost Ellerbroek, Jacco Hoekstra
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108066-108066
Open Access | Times Cited: 5
In-flight fast conflict-free trajectory re-planning considering UAV position uncertainty and energy consumption
Yutong Chen, Yan Xu, Lei Yang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 171, pp. 104988-104988
Closed Access
Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions
Jens Nilsson, Jonas Unger, Gabriel Eilertsen
Aerospace (2025) Vol. 12, Iss. 2, pp. 88-88
Open Access
Non-overlapping spectrum resources: enhancing video quality transmission with FDR-CK algorithm
Karthik Srinivasan, Saravanan Matheswaran, Prabaharan Sengodan, et al.
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
Taming deep reinforcement learning-based conflict resolution in air traffic control using geometric technique
Lei Wang, Hong‐Yu Yang, Yunxiang Han, et al.
Expert Systems with Applications (2025), pp. 127579-127579
Closed Access
Multi‐Intersection Signal Control Based on Asynchronous Reinforcement Learning
Jixiang Wang, Siqi Chen, Wei Jing, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access
Assuring Safe and Efficient Operation of UAV Using Explainable Machine Learning
Abdulrahman Alharbi, Ivan Petrunin, Dimitrios Panagiotakopoulos
Drones (2023) Vol. 7, Iss. 5, pp. 327-327
Open Access | Times Cited: 9
Deep reinforcement learning in service of air traffic controllers to resolve tactical conflicts
G. Papadopoulos, Alevizos Bastas, George A. Vouros, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121234-121234
Closed Access | Times Cited: 9
General real-time three-dimensional multi-aircraft conflict resolution method using multi-agent reinforcement learning
Yutong Chen, Yan Xu, Lei Yang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 157, pp. 104367-104367
Open Access | Times Cited: 9
How do humans learn about the reliability of automation?
Luke Strickland, Simon Farrell, Micah K. Wilson, et al.
Cognitive Research Principles and Implications (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 2
TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas
Tri‐Hai Nguyen, Luong Vuong Nguyen, L. Minh Dang, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5284-5284
Open Access | Times Cited: 5
AirTrafficSim: An open-source web-based air traffic simulation platform.
Ka Yiu Hui, Chris HC. Nguyen, Go Nam Lui, et al.
The Journal of Open Source Software (2023) Vol. 8, Iss. 86, pp. 4916-4916
Open Access | Times Cited: 4
Graph Reinforcement Learning for Multi-Aircraft Conflict Resolution
Yumeng Li, Yunhe Zhang, Tong Guo, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 3, pp. 4529-4540
Closed Access | Times Cited: 1
Self-organized free-flight arrival for urban air mobility
Martin Waltz, Ostap Okhrin, Michael Schultz
Transportation Research Part C Emerging Technologies (2024) Vol. 167, pp. 104806-104806
Open Access | Times Cited: 1
Digital Assistant for Arrival Scheduling with Conflict Prevention Capabilities
Francesco Nebula, Roberto Palumbo, Gabriella Gigante, et al.
Information (2023) Vol. 14, Iss. 4, pp. 216-216
Open Access | Times Cited: 2
Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces
Xu Shen, Francesco Borrelli
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-6
Open Access | Times Cited: 2
Machine Learning-based Aircraft Conflict Prediction: A Systematic Literature Review
Maryam Jamal, Humaira Ashraf, N. Z. Jhanjhi
(2023)
Open Access | Times Cited: 2
Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning
Marta Ribeiro, Joost Ellerbroek, Jacco Hoekstra
Aerospace (2022) Vol. 9, Iss. 12, pp. 847-847
Open Access | Times Cited: 3
Fragility Impact of RL Based Advanced Air Mobility under Gradient Attacks and Packet Drop Constraints
Deepak Kumar Panda, Weisi Guo
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) (2023), pp. 1-7
Closed Access | Times Cited: 1
RETRACTED: Dynamic Spectrum Allocation: Unleashing the Power of DRL-RW Algorithm in UAV-Based Energy Harvesting Networks
Abdul Sikkandhar. R, A. Merline
Research Square (Research Square) (2024)
Open Access
How do humans learn about the reliability of automation?
Luke Strickland, Simon Farrell, Micah Kate Wilson, et al.
(2024)
Open Access
Taming Deep Reinforcement Learning-Based Conflict Resolution in Air Traffic Control Using Geometric Technique
Lei Wang, Hong‐Yu Yang, Yunxiang Han, et al.
(2024)
Closed Access
Application of Reinforcement Learning Models for Optimization of Air Traffic Control Protocols
Aadhith Sanjay Prasanna, Suhas Giriprasad Gorantla, Varun Ravindra Udbalker, et al.
(2024), pp. 190-192
Closed Access
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